RT Journal Article
T1 Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms
A1 González Arribas, Daniel
A1 Soler Arnedo, Manuel Fernando
A1 Sanjurjo Rivo, Manuel
A1 Kamgarpour, Maryam
A1 Simarro Grande, Juan Pablo
AB Convective weather, and thunderstorm development in particular, represents a major source of disruption, delays and safety hazards in the Air Traffic Management system. Thunderstorms are challenging to forecast and evolve on relatively rapid timescales; therefore, aircraft trajectory planning tools need to consider the uncertainty in the forecasted evolution of these convective phenomena. In this work, we use data from a satellite-based product, Rapidly Developing Thunderstorms, to estimate a model of the uncertain evolution of thunderstorms. We then introduce a methodology based on numerical optimal control to generate avoidance trajectories under uncertain convective weather evolution. We design a randomized procedure to initialize the optimal control problem, explore the different resulting local optima, and identify the best trajectory. Finally, we demonstrate the proposed methodology on a realistic test scenario, employing actual forecast data and an aircraft performance model.
PB Elsevier
SN 1270-9638
YR 2019
FD 2019-06-01
LK https://hdl.handle.net/10016/31949
UL https://hdl.handle.net/10016/31949
LA eng
NO This work is supported by the Spanish Government through Project entitled Analysis and optimisation of aircraft trajectories under the effects of meteorological uncertainty (TRA2014-58413-C2-2-R)12; this project has been funded under R&D&I actions of Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad (call 2014).
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RD 12 sept. 2024